finetune_model
This model is a fine-tuned version of google/flan-t5-base on the Multiple-choice dataset. It achieves the following results on the evaluation set:
- Loss: 0.4853
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5355 | 1.0 | 340 | 0.5072 |
| 0.5175 | 2.0 | 681 | 0.4938 |
| 0.5039 | 3.0 | 1022 | 0.4916 |
| 0.4949 | 4.0 | 1363 | 0.4858 |
| 0.4886 | 4.99 | 1700 | 0.4853 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for DVLe/finetuned_t5_math
Base model
google/flan-t5-base